Compare Masters Programs in Business Information Technology 2017 in Saint Lucia in Australia

A masters is awarded to students who have completed postgraduate level study in a specific field of study or area of professional practice while demonstrating a high level of mastery during the process.

Business information technology programs give students the skills they need to understand the connection between the information technology industry and private companies. Students will also learn how to apply I.T. principles in a corporate environment.

Australia is an island country and continent of the southern hemisphere, in the SW Pacific, a member state of the Commonwealth.

This town is largely covered with learning institution buildings. The Primary focus for St. Lucia is the University of Queensland. However, other tertiary institutions are available in this region.

Business Information Technology

Australia, Saint Lucia

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Study type

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The University of Queensland

CampusFull time2 yearsJanuary 2017AustraliaSaint Lucia

The Data Science program at The University of Queensland will be the first in Australia to offer an advanced level of computing, statistics, mathematics and business knowledge applied in industry, government, social and scientific contexts and balanced with essential attributes relevant to data science including the ethical use of data, legal considerations for data science, business communication, hands-on experience with relevant big data tools and technologies, and creative and disruptive thinking applied to complex problems.
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Masters in Business Information Technology in Saint Lucia in Australia. Why study the Master of Data Science
There is a significant and ongoing growth in the demand for Data Scientists globally. Data Science is an exciting new area of study that is applicable in a large number of industry sectors such as health, energy, finance, manufacturing, as well as in government. The Data Science program at The University of Queensland will be the first in Australia to offer an advanced level of computing, statistics, mathematics and business knowledge applied in industry, government, social and scientific contexts and balanced with essential attributes relevant to data science including the ethical use of data, legal considerations for data science, business communication, hands-on experience with relevant big data tools and technologies, and creative and disruptive thinking applied to complex problems. Graduates from this program will be well-equipped to tackle complex data science challenges and play a leading role in the future development of data science solutions globally.
Please note that the English Language Proficiency requirement for this program is currently being reviewed.
Entry requirements
Prerequisites
The program will be available to students with at least a 3-year undergraduate degree with a major in computer science, IT, statistics, mathematics, engineering, or a program with substantial quantitative competencies sufficient to allow timely completion of the program. Completion of Queensland Year 12 or equivalent Mathematics B is also required.
Applicants are encouraged to provide a CV which details any experience working with data. Inclusion of a statement of interest in the Master of Data Science and the potential contribution to career development is strongly encouraged.
English Proficiency
IELTS overall 7; reading 7; writing 7; speaking 7; listening 7. For other English Language Proficiency Tests and Scores approved for UQ, view the English proficiency policy below.
In order to gain entry to an academic program at UQ, you will have to demonstrate you have the appropriate level of English language skills.
To meet the UQ's English language proficiency requirements, you must demonstrate one of the following:
a score equivalent to four semesters of Sound Achievement in Queensland Studies Authority English, English for ESL Learners or Australian or international equivalent. Less than four semesters may be considered for some programs.
at least 6.5 overall and a minimum of 6.0 in each sub-band of the International English Language Testing System (IELTS) or equivalent test. Some programs have higher English proficiency requirements; see individual program requirements.
Other equivalent tests such as the Test of English as a Foreign Language (TOEFL) and Pearson Test of English (PTE) Academic are also accepted, and other qualifications and experience may also be considered.
Study Abroad and Incoming Exchange students are only required to meet the overall score (eg 6.5 IELTS or 87 TOEFL or 64 PTE).
Visa requirements
International students who are accepted into full-time study in the Master of Data Science are eligible to apply for an Australian student visa.
The Australian Government has simplified the visa application process. Now, all international students apply for the Student Visa (subclass 500).
There are a number of requirements you must satisfy before a visa is granted.
Program structure
Courses
The courses offered in the Master of Data Science are set out in the course list. Each course is allocated a certain number of units (#).
Program Rules
The Program Rules explain what is required to complete the Master of Data Science. These requirements include the total number of units you need to complete in order to graduate.
To have your degree conferred, you also need to comply with the General Award Rules. The General Award Rules, along with other policies and regulations, can be found on the University Rules page.
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